Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Using Pitch, Amplitude Modulation, and Spatial Cues for Separation of Harmonic Instruments from Stereo Music Recordings | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 86369 10 pages doi 2007 86369 Research Article Using Pitch Amplitude Modulation and Spatial Cues for Separation of Harmonic Instruments from Stereo Music Recordings John Woodruff1 and Bryan Pardo2 1 Music Technology Program School of Music Northwestern University Evanston IL 60208 USA 2 Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 USA Received 2 December 2005 Revised 30 July 2006 Accepted 10 September 2006 Recommended by Masataka Goto Recent work in blind source separation applied to anechoic mixtures of speech allows for improved reconstruction of sources that rarely overlap in a time-frequency representation. While the assumption that speech mixtures do not overlap significantly in time-frequency is reasonable music mixtures rarely meet this constraint requiring new approaches. We introduce a method that uses spatial cues from anechoic stereo music recordings and assumptions regarding the structure of musical source signals to effectively separate mixtures of tonal music. We discuss existing techniques to create partial source signal estimates from regions of the mixture where source signals do not overlap significantly. We use these partial signals within a new demixing framework in which we estimate harmonic masks for each source allowing the determination of the number of active sources in important timefrequency frames of the mixture. We then propose a method for distributing energy from time-frequency frames of the mixture to multiple source signals. This allows dealing with mixtures that contain time-frequency frames in which multiple harmonic sources are active without requiring knowledge of source characteristics. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Source separation is the process of determining individual source signals given only mixtures of
